Collecting commonsense experiences

Push Singh, Barbara Barry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Humans naturally share knowledge by telling stories. This is a form of knowledge exchange we engage in right from early childhood, and over time we learn to recall, order and organize our experiences as stories [1]. In this paper we describe the Open Mind Experiences (OMEX) system, a web-based knowledge acquisition tool that exploits our natural ability to tell and explain stories in order to build a large-scale commonsense knowledge base. We built OMEX to gather descriptions and explanations of everyday, 'common sense' experiences from volunteer contributors distributed across the Internet. We first describe the results of our previous attempt to collect commonsense knowledge from the general public, the Open Mind Common Sense (OMCS) project. The OMCS project focused on collecting largely assertional commonsense knowledge, and we describe some of its products and spin-offs. We then give several motivating reasons for why we now wish to collect more script-like knowledge. We then explain the features of the new OMEX site and give an evaluation of system based on a preliminary user study. We conclude by discussing our future directions.

Original languageEnglish (US)
Title of host publicationProceedings of the 2nd International Conference on Knowledge Capture, K-CAP 2003
PublisherAssociation for Computing Machinery, Inc
Pages154-161
Number of pages8
ISBN (Electronic)1581135831, 9781581135831
DOIs
StatePublished - Oct 23 2003
Event2nd International Conference on Knowledge Capture, K-CAP 2003 - Sanibel Island, United States
Duration: Oct 23 2003Oct 26 2003

Publication series

NameProceedings of the 2nd International Conference on Knowledge Capture, K-CAP 2003

Conference

Conference2nd International Conference on Knowledge Capture, K-CAP 2003
Country/TerritoryUnited States
CitySanibel Island
Period10/23/0310/26/03

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems
  • Software

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